If an observation has a missing value for any of the
quantitative variables, it is omitted from the analysis.
If an observation has a missing CLASS value but is
otherwise complete, it is not used in computing the
canonical correlations and coefficients; however,
canonical variable scores are computed for that
observation for the OUT= data set.